A Methodological Review of Piezoelectric Based Acoustic Wave Generation and Detection Techniques for Structural Health Monitoring

Sun, Zhigang; Rocha, Bruno; Wu, Kuo-Ting; Mrad, Nezih

doi:10.1155/2013/928627

Cited by 48 publications

(43 citation statements)

References 41 publications

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“…The drawbacks of these powerful techniques are that they require significant signal processing, on-board computations, and recalibration during the service life of the system; they additionally assume that the structure is linear. Sun et al provided an excellent review on the latest acoustic wave generation and detection techniques [13].…”

Section: Nonlinear Dynamics Of Undamaged and Damaged Structuresmentioning

confidence: 99%

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Detection of fatigue damage precursor using a nonlinear vibration approach

Habtour

Cole

Riddick

et al. 2016

Struct. Control Health Monit.

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SUMMARYA nonlinear dynamic methodology is developed for detecting and estimating fatigue damage precursor in isotropic metal structures, prior to fatigue crack initiation, based on measurement of changes in the structure nonlinear response to harmonic base excitation. As an example, a damage precursor feature was extracted for cantilever beams by quantifying the reduction in the nonlinear stiffness because of localized microscopic material softening. The nonlinear dynamic analytical model parametrically tracks changes in the nonlinear structural stiffening as a function of the structural response and the loading cycles. Experimental results are obtained by exciting the base of cantilever beams at various amplitude levels. At high response amplitudes, the beams experience three competing simultaneous nonlinear dynamic mechanisms: (i) stiffening because of high response amplitude at the fundamental mode; (ii) softening because of inertial forces; and (iii) softening because of localized microscopic material damage caused by cyclic micro-plasticity. The third mechanism-a potential precursor to fatigue crack initiation in the structure-resulted in a cumulative softening because of early accumulation of cyclic fatigue damage and is the focus of this study. The loading intensity and the number of cycles influenced the relative contribution of these dynamic mechanisms. Nanoindentation studies near the beam clamped boundary were conducted to confirm the fatigue degradation in the local mechanical properties as a function of loading cycles. The proposed detection method is simple to implement and detects the presence of damage precursors but lacks the resolution to discern spatial distributions of the damage intensity. Based on prior knowledge of the structural dynamic characteristics of the beam and using the proposed methodology, damage level and stiffness reduction can be detected and estimated based on changes in the nonlinear structural response. The nonlinear stiffness term in the equation of motion is found to be very sensitive to the proposed fatigue damage precursor, making it an effective method for monitoring structural degradation prior to crack developments. The proposed methodology provides new insights and constitutes a significant step toward the development of new inspection techniques.

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Section: Nonlinear Dynamics Of Undamaged and Damaged Structuresmentioning

confidence: 99%

“…This study suggests that nonlinear dynamic system identification methods may hold a better promise for more sensitive damage detection capabilities. Additional information on various vibration-based recognition methods can be found in comprehensive reviews on damage identification and structural health monitoring [6,12,13].…”

Section: Introductionmentioning

confidence: 99%

Detection of fatigue damage precursor using a nonlinear vibration approach

Habtour

Cole

Riddick

et al. 2016

Struct. Control Health Monit.

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“…Smart structures with embedded network of piezoelectric transducers have been widely investigated in the last decade . The aim of such network is monitoring of the state of a material during operation of a structure.…”

Section: Introductionmentioning

confidence: 99%

Parallel implementation of spectral element method for Lamb wave propagation modeling

Kudela

2015

Numerical Meth Engineering

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Summary The proposed spectral element method implementation is based on sparse matrix storage of local shape function derivatives calculated at Gauss–Lobatto–Legendre points. The algorithm utilizes two basic operations: multiplication of sparse matrix by vector and element‐by‐element vectors multiplication. Compute‐intensive operations are performed for a part of equation of motion derived at the degree of freedom level of 3D isoparametric spectral elements. The assembly is performed at the force vector in such a way that atomic operations are minimized. This is achieved by a new mesh coloring technique The proposed parallel implementation of spectral element method on GPU is applied for the first time for Lamb wave simulations. It has been found that computation on multicore GPU is up to 14 times faster than on single CPU. Copyright © 2015 John Wiley & Sons, Ltd.

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“…Guided wave inspection systems have shown the capability for detecting defects throughout the thickness of thin structures [1][2][3][4]. Lead-Zirconate-Titanate (PZT) piezoelectric transducers have been well studied for the actuation and sensing of guided waves for damage detection [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Lead-Zirconate-Titanate (PZT) piezoelectric transducers have been well studied for the actuation and sensing of guided waves for damage detection [5][6][7]. Guided waves have shown their potential for in-situ structural health monitoring when their ability to interrogate large areas of a structure is combined with the small size and efficiency of PZT transducers [1] [2].…”

Section: Introductionmentioning

confidence: 99%

Advanced Signal Processing Algorithms in Structural Integrity Monitoring

Dib

Karpenko

Haq

et al. 2014

Procedia Engineering

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Damage detection using Lead-Zirconate-Titanate (PZT) transducers for exciting guided waves was investigated. The analytical model for guided wave excitation using PZT transducers was used in a Finite Element Model for simulating guided waves in a thin aluminum plate with various defect depths. The fundamental symmetric (S 0 ) mode was excited, and four sensors were placed for detecting both the reflected and transmitted waves from defects. The model was used to conduct a parametric study of the effect of the PZT adhesive bonding on the measured signal and hence probability of detection (POD).The model was also used for optimizing signal analysis algorithms, particularly for the case of multiple overlapping modes due to mode conversion from defects. A mode decomposition algorithm is proposed for separating the reflected/transmittedS 0 mode from the mode converted antisymmetric mode (A 0 ). The signal processing algorithms were optimized to maximize the POD.

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A Methodological Review of Piezoelectric Based Acoustic Wave Generation and Detection Techniques for Structural Health Monitoring

Cited by 48 publications

References 41 publications

Detection of fatigue damage precursor using a nonlinear vibration approach

Detection of fatigue damage precursor using a nonlinear vibration approach

Parallel implementation of spectral element method for Lamb wave propagation modeling

Advanced Signal Processing Algorithms in Structural Integrity Monitoring

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